Question 1

How do I handle concurrency with Go orderbook in a multi-threaded application?

Accepted Answer

The library doesn't explicitly manage concurrency; you'll need to implement your own synchronization using Go's mutexes or channels to prevent race conditions when accessing the order book from multiple goroutines.

Question 2

Go orderbook vs writing my own matching engine from scratch – which is faster to implement?

Accepted Answer

Go orderbook saves significant time by providing a tested, high-performance core, but if you need custom features like novel order types, building from scratch might be necessary. It's a trade-off between speed and flexibility.

Question 3

What's the maximum order book size Go orderbook can handle efficiently?

Accepted Answer

While not specified in the README, its memory-optimized design suggests it scales well, but performance may degrade with extremely large books (e.g., millions of orders) due to Go's garbage collection and data structure limits.

Question 4

Does Go orderbook support real-time updates via WebSockets?

Accepted Answer

No, it's a pure matching engine without networking features; you'll need to integrate it with a separate WebSocket server to broadcast order book changes to clients.

Question 5

How to add custom logging or monitoring to Go orderbook trades?

Accepted Answer

You can wrap the primary functions or use Go's interfaces to inject logging, as the library focuses on core logic and doesn't include built-in observability tools.

Question 6

Is Go orderbook suitable for educational purposes or learning order book algorithms?

Accepted Answer

Yes, its simple API and clear examples in the README make it a good tool for understanding price-time priority, but it lacks detailed documentation on algorithmic internals.

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